Students learn to build fast with AI, then hit the same wall everyone hits: finishing it properly. SUMMON gives your students supervised, scoped, real work on real products, and every session leaves behind a verifiable record of what they did.

She can build a working app with AI in a weekend. She has never shipped anything a stranger paid for, and her CV says nothing an employer can check.
The programme lead sends a list of 24 students and a 12 week window. Each student gets a cohort code and their work stays grouped under the university.
A short skills check, then the Academy tracks on security, scope and how a session runs. No live work until both are done.
A small business owner is stuck on a broken checkout. It is priced at a flat rate, matched to her skill level, and shows the payout before she accepts.
Shared code, chat and preview with the client watching. She fixes it in 40 minutes and explains what was wrong in plain language.
A reviewer checks the change, signs off, and the client approves. The client never carries the risk of a learner.
19 sessions delivered, each with a signed task order and a public receipt an employer can open and verify in seconds.
I stopped explaining what I could do and started sending a link.
You tell us how many students, what level, and what window. We set up a cohort space so their work stays grouped and reportable.
Same bar as everyone else. They pass the developer screen and complete the Academy tracks, so they arrive knowing the standards, the security controls, and the way sessions run.
Students take small, well-defined jobs first. A senior developer reviews the output before it is delivered, so the client never carries the risk of a learner.
Each session produces a task order, a hash-chained event log, and a completion summary. Students leave with proof of work, not a claim on a CV.
Sessions completed, hours, job types, review scores and progression per student, delivered as a cohort report you can use for assessment or funding.
Yes. Students are paid the standard developer rate for the job type, in tokens, released after the client approves. Supervision does not reduce their payout.
Students finish the programme with paid sessions delivered, reviewed work, and a public record an employer can verify in seconds.
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